Data Handling with NumPy & Pandas – Python Data Science No Prep Lesson Pack – Unit 03

Data Handling with NumPy & Pandas – Python Data Science No Prep Lesson Pack – Unit 03

A complete, classroom-ready data handling resource for beginner Computer Science, ICT, STEM, Python, artificial intelligence, machine learning and data science lessons.

This no-prep lesson pack introduces students to the role of data in AI and machine learning projects. Students learn how structured data is stored, inspected, cleaned and prepared before it can be used for analysis or model training.

The unit introduces beginner-friendly NumPy and Pandas concepts, including arrays, DataFrames, columns, rows, missing values, data types, filtering, basic cleaning and simple data inspection routines. Students also learn why poor-quality data can lead to unreliable AI systems.

Prepared as part of Fatih ARICA’s AI & Machine Learning teaching resource series and designed to support the AI & Machine Learning: European Edition learning sequence.

What is included:

• Course Promo Page PDF and editable DOCX
• Full Teacher Package PDF and editable DOCX
• Lesson Plan PDF and editable DOCX
• Summary Notes PDF and editable DOCX
• Student Worksheet PDF and editable DOCX
• Answer Key PDF and editable DOCX
• Teacher Handbook PDF and editable DOCX
• Printable Activity Cards PDF and editable DOCX
• Exit Tickets PDF and editable DOCX
• PowerPoint slide deck
• Slide deck PDF
• 800 × 600 TES cover image
• Read Me First file

Students will learn to:

• Explain why clean data is important in AI and machine learning
• Understand the difference between arrays and tables
• Recognise the role of NumPy in numerical data handling
• Understand how Pandas DataFrames store rows and columns
• Identify missing values, incorrect data types and inconsistent entries
• Apply simple data inspection and cleaning decisions
• Connect data quality with responsible and reliable AI systems
• Apply understanding through worksheets, activity cards and exit tickets

Ideal for:

• Computer Science lessons
• ICT and digital skills lessons
• STEM enrichment
• Beginner Python lessons
• Artificial intelligence and machine learning units
• Data science introduction lessons
• Secondary, high school and vocational education
• Non-specialist teachers introducing Python data handling

This is Unit 03 of the AI & Machine Learning Fundamentals Series. It follows Unit 02 – AI Development Environment Setup and helps students begin working with the data structures used in beginner AI and machine learning projects.

Continue the sequence with Unit 04 – Data Visualisation with Matplotlib & Seaborn.

Resource type: Lesson (complete)
Age range: 14-16, 16+
Subject: Computer Science
Level: Beginner AI & Machine Learning
Format: PDF, editable DOCX, PowerPoint PPTX and PNG files